Work from Home Data Science Lead Jobs, salary up to SGD 7,000 in PBA Group Yishun - Ricebowl

Job Description: Data Science Lead

Company Overview

PBA Group is a leading regional robotics and automation provider, driving the advancement of Industry 4.0 across Asia. We design, manufacture, and implement cutting-edge robotic solutions, automated advanced manufacturing systems, and smart factory technologies. As we continue to integrate advanced analytics into our proprietary hardware and software ecosystem, we are looking for a visionary, tech-savvy Data Science Lead to build, steer, and elevate our data capabilities at our advanced innovation and manufacturing hubs.

Location: Yishun, Singapore (PBA Group HQ / Advanced Manufacturing Hub)

Employment Type: Full-time

Work Arrangement: Hybrid (A flexible framework combining independent remote research, coding, and architecture modeling with required on-site days at our Yishun facility for hardware testing, factory integration, and executive team alignment)

Job Purpose

The Data Science Lead will spearhead the data strategy and machine learning roadmap for PBA Group’s advanced robotics and smart manufacturing divisions. You will lead a team of data professionals to architect, deploy, and scale predictive models, computer vision systems, and prescriptive analytics that optimize robotic performance, predict equipment failures, and revolutionize factory floor automation for our global clientele.

Key Responsibilities

1. Strategic Leadership & Roadmap Execution

Define the long-term data science, AI, and machine learning roadmap aligned with PBA Group’s core robotics and automation business objectives.

Translate complex industrial engineering problems into scalable data science initiatives and production-ready algorithms.

Lead, mentor, and grow a high-performing team of data scientists and data engineers, fostering a culture of innovation and scientific rigor.

2. Advanced Analytics & Algorithm Development

Architect and oversee the development of predictive maintenance models, anomaly detection systems, and time-series forecasting for industrial robots and automation pipelines.

Champion the implementation of edge AI and computer vision algorithms for robotic perception, quality inspection, and spatial awareness.

Drive the end-to-end Machine Learning Lifecycle (MLOps), ensuring seamless deployment, monitoring, and retraining of models in live manufacturing environments.

3. Cross-Functional Integration & Stakeholder Management

Partner closely with Robotics Engineering, Software Development, and Product teams to seamlessly embed data products into physical robotic systems and control software.

Communicate highly technical data concepts, model limitations, and performance metrics clearly to non-technical business leaders and corporate stakeholders.

Requirements & Qualifications

Education: Master’s or Ph.D. in Data Science, Computer Science, Robotics, Electrical Engineering, Statistics, or a highly quantitative field.

Experience: 6+ years of hands-on experience in data science and machine learning, with at least 2 years in a technical leadership or team management role. Experience in industrial IoT (IIoT), manufacturing analytics, or robotics is a distinct advantage.

Technical Mastery: Deep proficiency in Python or R, and robust experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) and big data tech stacks.

Industrial Expertise: Solid familiarity with time-series data, sensor fusion, and deploying algorithms to edge devices or cloud infrastructure (AWS/Azure).

Communication: Exceptional interpersonal and verbal communication skills. Professional fluency in English is required to lead regional technical teams and present solutions to international industrial clients.

Flexibility: Highly organized and adaptable to a hybrid work model—comfortable working independently from home for core statistical modeling and architecture design, while fully available for on-site hardware testing, system commissioning, and engineering alignment at our Yishun innovation hub.

What We Offer

A pioneering role at the forefront of automation, robotics, and the future of Industry 4.0.

Hybrid Work Flexibility: A progressive policy that balances remote engineering autonomy with deep, hands-on physical collaboration on-site.

Immense opportunity to shape the core data infrastructure of next-generation robotic systems.

Competitive executive compensation package with comprehensive corporate benefits.

Conveniently located in the established industrial cluster of Yishun.

Pay: $3,835.98 - $7,000.00 per month

Benefits:

• Additional leave
• Employee discount
• Parental leave
• Promotion to permanent employee

Work Location: In person